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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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. Analytical Instrumentation: Expertise in material characterization (XRD, SEM, EDX, UV-Vis spectroscopy) and electronic testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB
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testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications
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Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications Educational Requirements: A Ph.D. in Chemical Engineering, Materials
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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for this position is $60,000-$80,000 per annum + benefits. Postdoctoral Research Fellowship Translational Radiation Oncology The Analytics in Medical Sciences (AiMS) Institute https://aims.ok.ubc.ca
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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, models and standards is preferred. - Experience with Python, PHP, SAST, DAST, SCA, SAML, OIDC, PostgreSQL, MariaDB, TDD, HTTP, TCP/IP, x509 certificates, network/systems inventories and architecture, DNS